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Informationen zum Autor Bruce L. Bowerman is professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 40 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987, Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. OConnell, Professor Bowerman has written 16 textbooks. These include Forecasting and Time Series: An Applied Approach; Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); and Linear Statistical Models: An Applied Approach. The fi rst edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine. Professor Bowerman has also published a number of articles in applied stochastic processes, time series forecasting, and statistical education. In his spare time, Professor Bowerman enjoys watching movies and sports, playing tennis, and designing houses. Klappentext Business Statistics in Practice , Eighth Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Seventh Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective. Inhaltsverzeichnis Chapter 1: An Introduction to Business StatisticsChapter 2: Descriptive Statistics: Tabular and Graphical MethodsChapter 3: Descriptive Statistics: Numerical MethodsChapter 4: ProbabilityChapter 5: Discrete Random VariablesChapter 6: Continuous Random VariablesChapter 7: Sampling and Sampling DistributionsChapter 8: Confidence IntervalsChapter 9: Hypothesis TestingChapter 10: Statistical Inferences for Means and ProportionsChapter 11: Statistical Inferences for Population VariancesChapter 12: Experimental Design and Analysis of VarianceChapter 13: Chi-Square TestsChapter 14: Simple Linear Regression AnalysisChapter 15: Multiple Regression and Model BuildingChapter 16: Time Series Forecasting and Index NumbersChapter 18: Nonparametric MethodsChapter 19: Decision TheoryAppendix A: Statistical TablesAppendix B: Answers to Most Odd-Numbered ExercisesAppendix C: ReferencesPhoto CreditsIndexCase Index ...
